Ming‐Chao Huang

45 total papers · 1.1k total citations
40 papers, 785 citations indexed

About

Ming‐Chao Huang is a scholar working on Surgery, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ming‐Chao Huang has authored 40 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 14 papers in Pathology and Forensic Medicine and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ming‐Chao Huang's work include Spinal Cord Injury Research (11 papers), Nerve injury and regeneration (8 papers) and Nerve Injury and Rehabilitation (8 papers). Ming‐Chao Huang is often cited by papers focused on Spinal Cord Injury Research (11 papers), Nerve injury and regeneration (8 papers) and Nerve Injury and Rehabilitation (8 papers). Ming‐Chao Huang collaborates with scholars based in Taiwan, China and Czechia. Ming‐Chao Huang's co-authors include Henrich Cheng, Wen‐Cheng Huang, May‐Jywan Tsai, Yang‐Hsin Shih, Yi‐Yen Lee, Wen-Chun Kuo, Ching‐Feng Weng, Ming-Teh Chen, Shen-Kou Tsai and Shiang-Suo Huang and has published in prestigious journals such as Journal of Neuroscience, Annals of the New York Academy of Sciences and Neuroscience.

In The Last Decade

Ming‐Chao Huang

38 papers receiving 772 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ming‐Chao Huang	206	197	192	191	183	40	785
Hyeonseon Park	195 0.9×	217 1.1×	284 1.5×	132 0.7×	255 1.4×	37	818
Kazuhide Furuya	221 1.1×	105 0.5×	136 0.7×	88 0.5×	108 0.6×	27	842
James Hong	267 1.3×	74 0.4×	313 1.6×	241 1.3×	135 0.7×	42	883
Weibang Liang	227 1.1×	93 0.5×	334 1.7×	144 0.8×	323 1.8×	36	858
Hongbin Ni	257 1.2×	71 0.4×	201 1.0×	115 0.6×	222 1.2×	33	732
Kelly Hares	319 1.5×	252 1.3×	132 0.7×	82 0.4×	194 1.1×	24	739
Guidong Shi	230 1.1×	76 0.4×	317 1.7×	152 0.8×	230 1.3×	33	719
Ke Ma	292 1.4×	173 0.9×	92 0.5×	149 0.8×	198 1.1×	35	762
Chun Kun Park	133 0.6×	80 0.4×	221 1.2×	285 1.5×	143 0.8×	29	696
Brandon Liebelt	179 0.9×	144 0.7×	89 0.5×	131 0.7×	59 0.3×	27	695

Countries citing papers authored by Ming‐Chao Huang

Since Specialization

Citations

This map shows the geographic impact of Ming‐Chao Huang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming‐Chao Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chao Huang more than expected).

Fields of papers citing papers by Ming‐Chao Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chao Huang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming‐Chao Huang. The network helps show where Ming‐Chao Huang may publish in the future.

Co-authorship network of co-authors of Ming‐Chao Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chao Huang. A scholar is included among the top collaborators of Ming‐Chao Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming‐Chao Huang. Ming‐Chao Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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